Notion ao research methodology

Skill rooftop-Owl/notion-ao-research/skills/notion-ao-research-methodology

Agent-oriented research workflow skills for Notion MCP. NL database operations, workspace setup, design handbook (EN/KO). Works with Claude Code, Cursor, Windsurf, or any MCP client.

Install

npx -y skills add rooftop-Owl/notion-ao-research --skill notion-ao-research-methodology

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This skill should be used when working on any research task, when the user asks about "research methodology", "citation standards", "Two-Zone Model", "research integrity", "citation needed markers", or "calibrated uncertainty". Provides foundational principles for conducting rigorous research with non-negotiable citation fidelity rules.

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SKILL.md

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Research Methodology

Overview

The research workspace operates on the Two-Zone Model — a deliberate two-layer architecture that separates automated ingestion from curated structured knowledge. Layer 1 (ingestion) captures content automatically at high volume. Layer 2 (structured workspace) holds only deliberate, human-curated entries. The gap between them is intentional by design, not a missing feature.

See references/two-zone-model.md for the full diagram, promotion checklist, and database quick reference.

Core Rules

Never automate the Layer 1 → Layer 2 promotion step

Promotion is always manual and deliberate. Do not write scripts to bulk-promote Layer 1 entries into Layer 2 databases. When you find yourself automating this step, you are working against the architecture.

The Layer 1 databases (ingestion databases) are write-once, high-volume, minimal-schema targets. The Layer 2 databases (your structured workspace databases) are the curated knowledge graph — relational, annotated, and high-quality.

Citation integrity is non-negotiable

Every reference you include in research output must be traceable to a real source. Follow these rules at all times:

Never hallucinate citations. Do not invent author names, years, titles, or DOIs.
Never use Author et al. (YYYY) without a verifiable, linked source.
If a reference cannot be confirmed, use the marker [CITATION NEEDED: description of what is needed] instead of inventing a reference.
Use calibrated uncertainty language. Distinguish between established findings, likely interpretations, and speculation. Use "evidence suggests", "it is likely", "it is unclear whether" as appropriate.
Specify data sources, versions, and access dates when citing datasets or tools.
Declare limitations explicitly. Do not present results beyond what the evidence supports.

When uncertain, flag — never fill the gap with invention

When you lack a citation or cannot confirm a claim:

Insert [CITATION NEEDED: <description>] at the exact location
Flag the unsupported claim explicitly in any output or summary
Suggest a concrete evidence-capture step (e.g., "this should be confirmed by reviewing [source type]")
Do NOT resume as though the gap were closed until it is actually resolved

Speculative drafts may retain [CITATION NEEDED] markers. Final drafts must resolve all markers before delivery.

Research Integrity Principles

Reproducibility: Provide methods, parameters, and tool versions sufficient for another researcher to reproduce your process.
Honesty about scope: If a claim goes beyond the available evidence, say so.
Source attribution: Every artifact that enters Layer 2 must carry its origin (DOI, URL, Zotero key, or equivalent).
No silent omissions: If you drop a [CITATION NEEDED] marker without resolving it, you are misrepresenting the quality of the output.

References

references/two-zone-model.md — Full Two-Zone Model: architecture diagram, promotion checklist, DB quick reference, rationale
references/citation-protocol.md — Citation fidelity rules, calibrated uncertainty language, integrity response protocol